SENSE LEARNING
associated with 72 other trademarks
Electronic sensors and monitoring devices for detecting incompatibility and defects in machinery and products based on artificial intelligence and dee...

Words that describe this trademark:

artificial intelligence  deep learning  machinery products  devices  detecting  based  intelligence  products  defects  incompatibility 

Serial Number:

88067239

Mark:

SENSE LEARNING

Status:

Registered

Status Date:

10-01-2019

Filing Date:

Registration Number:

5871215

Registration Date:

10-01-2019

Goods and Services:

Electronic sensors and monitoring devices for detecting incompatibility and defects in machinery and products based on artificial intelligence and deep learning technologies; downloadable computer programs for perceiving incompatibility and defects based on artificial intelligence and deep learning technologies; electronic detectors for observing and measuring defects by processing images using artificial intelligence and deep learning technologies in the field of industrial process monitoring; apparatus and instruments for inspecting product defects, namely, video cameras, cameras, display monitors, apparatus for recording images, image sensors, computer hardware for processing digital images; interfaces for detectors; downloadable computer software for processing digital images; humanoid robots with artificial intelligence, diagnostic apparatus, not for medical purposes, for detecting defects in surveillance systems, namely, video cameras, cameras, display monitors, apparatus for recording images, image sensors, computer hardware for processing digital images; downloadable and recorded computer software for automatically detecting defects in the field of machinery and products based on artificial intelligence and deep learning technologies; motion detectors Quality control for others; product quality testing; calibration services; material testing; product testing; product safety testing services; testing the functionality of apparatus and instruments; mechanical research

Mark Description:

N/A

Class:

Scientific and technological services

Type of Mark:

Trademark

Published for Opposition Date:

07-16-2019

Mark Drawing Status:

Standart Character Mark

Abandon Date:

N/A

Business Name:

FROSS ZELNICK LEHRMAN & ZISSU, P.C.

Correspondent Name:

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